he objective of this paper is to assess the degree and the structure of price dependence between four different coffee varieties of the Arabicas and Robustas qualities. This is pursued using the statistical tool of copulas and monthly price data for the period 2006–2015. The empirical results indicate: (i) price booms and price crashes are transmitted with different probabilities in five out of six pairs of different coffee varieties, indicating asymmetric price dependence during extreme market upswings/downswings, and (ii) price in- creases are transmitted faster and more fully than price decreases, since in every pair examined in this study, the upper tail dependence coefficient is higher than the lower tail dependence coefficient. According to the results, coffee producers are more likely to see coffee prices of different varieties of the same and different quality to boom rather than crash together.